A Case Study in Sequential Pattern Mining for IT-Operational Risk

Authors:
Valerio Grossi;Andrea Romei;Salvatore Ruggieri
Affiliations:
Dipartimento di Informatica, Università di Pisa, Pisa, Italy 56127;Dipartimento di Informatica, Università di Pisa, Pisa, Italy 56127;Dipartimento di Informatica, Università di Pisa, Pisa, Italy 56127
Venue:
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Year:
2008

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Abstract

IT-operational risk management consists of identifying, assessing, monitoring and mitigating the adverse risks of loss resulting from hardware and software system failures. We present a case study in IT-operational risk measurement in the context of a network of Private Branch eXchanges (PBXs). The approach relies on preprocessing and data mining tasks for the extraction of sequential patterns and their exploitation in the definition of a measure called expected risk.